A method includes selecting, from a data table containing a plurality of weighted independent variable columns and rows, where each of the columns represents an independent input variable feature and each row represents a set of stored independent input variables and a corresponding stored dependent variable, a row that best matches received sensor independent input variable data from at least one vehicle sensor, causing a vehicle accelerator to gradually accelerate a vehicle to a vehicle acceleration level corresponding to the stored dependent variable of the selected best match row, and modifying a weight of the weighted independent variable columns based upon received user feedback to the vehicle acceleration level. The weights may then be normalized and the received sensor independent input variable data may be stored within a new row of the data table if the weight modification produces a net overall improvement in the data table dependency mapping.